BMJ研究显示:早起的女性不易患乳腺癌

1/7的女性在其一生中可能会罹患乳腺癌,以前的研究表明倒班工作可增加乳腺癌的风险,可能是由于睡眠紊乱、夜晚光照以及其他生活习惯所导致。但是很少有人研究睡眠习惯与乳腺癌风险的关系。

个国际研究团队采用孟德尔随机化方法(Mendelian randomisation),分析了UK Biobank中的180,216名女性以及乳腺癌研究联盟(Breast Cancer Association Consortium (BCAC))中的228,951名女性与睡眠偏好(早起或晚起)、睡眠长短以及失眠相关的遗传变异。他们最近在BMJ发表的文章显示,早起的女性较晚起的人更加不易患乳腺癌。该项研究同时显示,每晚睡觉时间超过推荐的7-8小时可增加患乳腺癌的风险。

BMJ原文链接

新闻原文

Being a ‘morning person’ linked to lower risk of breast cancer

Jul 9, 2019

Being a morning person (popularly known as larks) is associated with a lower risk of developing breast cancer than being an evening person (popularly known as owls), finds a study published by The BMJ.

Sleeping longer than the recommended 7-8 hours a night may also carry an increased risk, the results suggest.

One in seven women will develop breast cancer at some stage in their lives. Previous studies have shown a link between night shift work and risk of breast cancer, thought to be due to disrupted sleep patterns, light exposure at night, and other lifestyle factors. But there has been much less research into the potential effects of sleep habits on breast cancer risk.

So an international research team set out to examine whether certain sleep traits could have a direct (causal) effect on risk of developing breast cancer.

Using a technique called Mendelian randomisation, they analysed genetic variants associated with three particular sleep traits – morning or evening preference (chronotype), sleep duration, and insomnia – for 180,216 women in the UK Biobank study and 228,951 women in the Breast Cancer Association Consortium (BCAC) study.

Analysing genetic information in this way avoids some of the problems that afflict traditional observational studies, making the results less prone to unmeasured (confounding) factors, and therefore more likely to be reliable.

An association that is observed using Mendelian randomisation strengthens the inference of a causal relationship.

In observational analysis of UK Biobank data, morning preference was associated with a slightly lower risk of breast cancer (one less woman per 100) than evening preference, whereas there was little evidence for an association with sleep duration and insomnia symptoms.

However, the authors stress that this represents differences at the extreme ends of the scale, and that the extent of effect is likely to be smaller than that of other known risk factors for breast cancer, such as BMI and alcohol intake.

Mendelian analysis of UK Biobank data provided some supportive evidence for a protective effect of morning preference on breast cancer risk, but imprecise estimates for sleep duration and insomnia symptoms.

Mendelian analysis from BCAC also supported a protective effect of morning preference, and showed a potential harmful effect of longer sleep duration (more than the recommended 7-8 hours) on breast cancer, whereas evidence for insomnia symptoms was inconsistent.

The researchers point to some limitations, for example the study partly relied on self-reported sleep measures and was restricted to women of European ancestry, so findings may not be applicable to other groups.

However, they used several methods to assess data from two high quality resources, and took account of established and potential risk factors. Results also remained largely unchanged after further sensitivity analyses.

As such, the researchers say their findings “provide strong evidence for a causal effect of chronotype on breast cancer risk.” Further work to uncover possible reasons for the associations between sleep disruption and breast cancer is required, they add. Nonetheless, these findings “have potential implications for influencing sleep habits of the general population in order to improve health.”

This offers a tremendous opportunity for preserving good health, achieving healthy aging, and, more specifically, for developing new personalised strategies for reducing the risk of chronic diseases associated with the circadian system, she adds.

This line of research “could also help to align working hours with chronotype–to more closely match externally imposed timing with individual diurnal preference, especially in the working population,” she concludes.

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